57 citations · 128 across the 7 of their papers we have counts for
4 papers · 1 filter
Bayesian Structural Identification using Gaussian Process Discrepancy Models
Antonina M. Kosikova, Omid Sedehi, Costas Papadimitriou +1
Bayesian model updating based on Gaussian Process (GP) models has received attention in recent years, which incorporates kernel-based GPs to provide enhanced fidelity response pred…
Input-State-Parameter-Noise Identification and Virtual Sensing in Dynamical Systems: A Bayesian Expectation-Maximization (BEM) Perspective
Daniz Teymouri, Omid Sedehi, Lambros S. Katafygiotis +1
Structural identification and damage detection can be generalized as the simultaneous estimation of input forces, physical parameters, and dynamical states. Although Kalman-type fi…
Hierarchical Bayesian Uncertainty Quantification of Finite Element Models using Modal Statistical Information
Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis
This paper develops a Hierarchical Bayesian Modeling (HBM) framework for uncertainty quantification of Finite Element (FE) models based on modal information. This framework uses an…
Data-Driven Uncertainty Quantification and Propagation in Structural Dynamics through a Hierarchical Bayesian Framework
Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis
In the presence of modeling errors, the mainstream Bayesian methods seldom give a realistic account of uncertainties as they commonly underestimate the inherent variability of para…